Statistical approaches to processing natural language text have become dominant in recent years This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear The book contains all the theory and algorithms needed for building NLP tools It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications

/pdf/foundations-of-statistical-natural-language-processing-1ou5e6c2q6.pdf

Foundations of Statistical Natural Language Processing

An overview of the self-organizing map algorithm, on which the papers in this issue are based, is presented in this article.

The Self-Organizing Map

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An Introduction To The Event Related Potential Technique

Traditional mechanistic accounts of language processing derive almost entirely from the study of monologue. Yet, the most natural and basic form of language use is dialogue. As a result, these accounts may only offer limited theories of the mechanisms that un- derlie language processing in general. We propose a mechanistic account of dialogue, the interactive alignment account, and use it to de- rive a number of predictions about basic language processes. The account assumes that, in dialogue, the linguistic representations em- ployed by the interlocutors become aligned at many levels, as a result of a largely automatic process. This process greatly simplifies production and comprehension in dialogue. After considering the evidence for the interactive alignment model, we concentrate on three aspects of processing that follow from it. It makes use of a simple interactive inference mechanism, enables the development of local di- alogue routines that greatly simplify language processing, and explains the origins of self-monitoring in production. We consider the need for a grammatical framework that is designed to deal with language in dialogue rather than monologue, and discuss a range of implica- tions of the account.

/pdf/toward-a-mechanistic-psychology-of-dialogue-2jquck2ahu.pdf

Toward a mechanistic psychology of dialogue

This article presents a measure of semantic similarity in an IS-A taxonomy based on the notion of shared information content. Experimental evaluation against a benchmark set of human similarity judgments demonstrates that the measure performs better than the traditional edge-counting approach. The article presents algorithms that take advantage of taxonomic similarity in resolving syntactic and semantic ambiguity, along with experimental results demonstrating their effectiveness.

/pdf/semantic-similarity-in-a-taxonomy-an-information-based-4uyvrsssn3.pdf

Semantic similarity in a taxonomy: an information-based measure and its application to problems of ambiguity in natural language

https://www.coli.uni-saarland.de/~crocker/pubs/knoeferle-cognition-rev.pdf

The influence of the immediate visual context on incremental thematic role-assignment: evidence from eye-movements in depicted events.

https://www.coli.uni-saarland.de/~crocker/documents/cogsci-toappear.pdf

The coordinated interplay of scene, utterance, and world knowledge: evidence from eye tracking.

https://onlinelibrary.wiley.com/doi/pdf/10.1111/cogs.12461

Matthew W. Crocker

Papers

The influence of the immediate visual context on incremental thematic role-assignment: evidence from eye-movements in depicted events.

The coordinated interplay of scene, utterance, and world knowledge: evidence from eye tracking.

A Neurocomputational Model of the N400 and the P600 in Language Processing

Rational Models of Cognition

Ambiguity Resolution in Sentence Processing: Evidence against Frequency-Based Accounts